Please note that these course listings are subject to change.
Mathematical Computation I: Matrix Computation Course
CAAM 30900=CMSC 37810, STAT 30900
Lek-Heng Lim
Sec 1: MW 3:00 PM–4:20 PM
TBA
Modern Applied Optimization
CAAM 31001=FINM 34800, STAT 31001
Lek-Heng Lim
Sec 1: T 1:30 PM-4:20 PM
TBA
Inverse Problems and Data Assimilation: A Machine Learning Approach
CAAM 31151=STAT 31150
Daniel Sanz-Alonso
Sec 1: TR 9:30 AM–10:50 AM
TBA
Fast Algorithms
CAAM 31190=STAT 31190
Jeremy Hoskins
Sec 1: TR 2:00 PM–3:20 PM
TBA
Foundations Of Computational Dynamics
CAAM 31310=STAT 31310
Staff
Sec 1: MW 1:30 PM–2:50 PM
TBA
Applied Dynamical Systems
CAAM 31410=STAT 31410
Mary Silber
Sec 1: TR 11:00 AM-12:20 PM
TBA
Applied Linear Algebra
CAAM 31430=STAT 31430
Eric Baer
Sec 1: MW 3:00 PM–4:20 PM
TBA
Applied Analysis
CAAM 31440=STAT 31440
Eric Baer
Sec 1: MWF 10:30 AM–11:20 AM
TBA
Foundations of Machine Learning and AI - Part I
CAAM 37711=DATA 37711STAT 37711
Victor Veitch
Sec 1: TR 3:30 PM-4:50 PM
TBA
Algorithms for Massive Datasets
CAAM 37782=STAT 37782
Yuehaw Khoo
Sec 1: MW 3:00 PM–4:20 PM
TBA
Scientific Computing with Python
CAAM 37830=STAT 37830
Tristan Goodwill
Sec 1: TR 3:30 PM-4:50 PM
TBA
Topics In Random Matrix Theory
CAAM 38520=STAT 38520
Yuxin Zhou
Sec 1: TR 9:30 AM–10:50 AM
TBA